Solo AI models face fundamental limits: context windows constrain complex tasks, they cannot collaborate, and they require manual orchestration. On most platforms, AI employees run in isolation, unable to form synergistic teams for enterprise-grade workflows.
COCO Agent Teams architecture delivers specialized role distribution, shared context, real-time collaboration, and autonomous orchestration. Built on the Zylos five-layer memory architecture, AI employee teams accumulate knowledge long-term and collaborate on cross-functional tasks.
COCO own 6-person team runs 30+ AI agents daily, handling code review, deployment, competitive analysis, and customer support, achieving 10x release efficiency. An MCN agency completes network-wide new media data collection and analysis in under 1 hour.
graph TB
subgraph "COCO Agent Cloud"
AC[Agent Cloud Dashboard]
ZY[Zylos Runtime Engine]
HXA[HxA Connect Bridge]
end
subgraph "AI Employees (Agent Team)"
A1[AI Employee A
Data Collection]
A2[AI Employee B
Analysis]
A3[AI Employee C
Report Generation]
KB[(Shared Knowledge Base
5-Layer Memory)]
end
subgraph "Deployment Channels"
TG[Telegram]
LK[Lark]
SL[Slack]
end
AC --> ZY
ZY --> A1
ZY --> A2
ZY --> A3
A1 <--> KB
A2 <--> KB
A3 <--> KB
A1 <--> HXA
A2 <--> HXA
A3 <--> HXA
HXA --> TG
HXA --> LK
HXA --> SL
COCO Agent Teams architecture: Zylos runtime orchestrates multiple AI employees with a shared five-layer memory knowledge base. HxA Connect bridges all communication to Telegram, Lark, and Slack channels.
Zylos is COCO self-developed open-source autonomous AI agent runtime, responsible for managing, scheduling, and orchestrating the complete agent lifecycle. Its core innovation is a five-layer memory architecture designed to outperform alternatives like OpenClaw for long-term enterprise scenarios. Zylos is open source on GitHub with 2,200+ stars and is the flagship among COCO 10+ core open-source projects. It supports persistent memory so AI employees retain interaction history and business knowledge, plus multi-channel communication that unifies messaging across Telegram, Lark, Slack, and more.
COCO Agent Cloud lets you deploy AI employees to Telegram, Lark, Slack, and other channels simultaneously from a single dashboard. All interaction history and context are unified in the backend regardless of which channel the user communicates through. HxA Connect serves as the cross-platform human-AI collaboration real-time message bridge, ensuring seamless message flow across channels.
All COCO plans starting from Air include scheduled tasks and persistent memory. Scheduled tasks let AI employees auto-execute on defined cycles. One internet company team set competitor tracking, user feedback compilation, and channel data aggregation all to run automatically, with reports ready every morning. Persistent memory means AI employees remember conversation history, business context, and user preferences.
COCO design philosophy: the future of AI is coordinated professional teams, not solo models. Air and Pro plans start with 1 AI employee. Ultra supports 3 Pro AI employees forming a team. Enterprise supports unlimited instances. The upgrade path is clear: validate value with 1 AI employee, then expand into a specialized Agent Team. COCO own proof: 6-person team runs 30+ AI agents daily at 10x release efficiency.
HxA Suite is COCO enterprise-grade efficiency toolkit, including HxA Connect for cross-platform message bridging and HxA Dashboard for Agent Team monitoring. The HxA suite maximizes Agent Team effectiveness with team-level visibility, performance monitoring, and collaboration orchestration. Enterprise plan users can deeply customize HxA Suite capabilities.
git clone https://github.com/coco-xyz/zylos.gitcd zylos && cat ARCHITECTURE.mdicoco.ai after login) → Left sidebar: "AI Employees" → Click "+ Create Team" (button at top-right of the employee list) → Name your team → "Add Members" dropdown: select 2-3 AI employees (must already exist as individual employees) → Under "Orchestration Mode", select "Autonomous" (Zylos auto-coordinates) or "Manual" (you define the workflow via the visual editor) → Click "Create Team".Deploy specialized AI employees that collaborate, remember, and orchestrate autonomously.
Try COCO FreeAll customer case studies and quotations referenced in this guide are sourced from the official COCO website (icoco.ai). Testimonials were collected and published with customer consent. Specific metrics cited: State-owned bank: loan due diligence reduction from 3 days to 2 hours (as stated by the branch vice president on icoco.ai). MCN agency: network-wide data collection and analysis in under 1 hour (as stated by the marketing director). Internet company: nearly doubled release cadence after automating competitor tracking and data aggregation (as stated by the team lead). Individual investor: daily automated stock screening and analysis (self-reported). K12 institution: 24/7 AI teaching assistant deployment (as stated by the academic director). Recruitment: doubled hiring efficiency (as stated by the recruitment lead).
All pricing information, feature descriptions, and customer case studies referenced in this guide are sourced directly from the official COCO website (icoco.ai) and COCO documentation (docs.icoco.ai). Case studies reflect real customer testimonials published on icoco.ai as of May 2026.
This guide reflects COCO platform capabilities as of May 2026. Features, pricing, and channel support are subject to change. Always refer to icoco.ai for the most current information. Performance metrics cited in customer testimonials represent specific use cases and may not reflect results in all scenarios.
This guide was compiled by the COCO AI product and content team based on direct platform usage, customer interviews, and official documentation. Pricing and feature tables were verified against icoco.ai as of the publish date. Where customer metrics are cited (e.g., time savings, efficiency gains), the specific customer and context are identified.